APPLICATIONS OF SHAPE OPTIMIZATION WITH LS OPT AND ANSA
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2 nd ANSA & μETA International Congress June 14-15, 2007 Olympic Convention Center, Porto Carras Grand Resort Hotel, Halkidiki Greece 135 APPLICATIONS OF SHAPE OPTIMIZATION WITH LS-OPT AND ANSA 1 Heiner Müllerschön * , 1 Marko Thiele, 2 Wolfram Mühlhuber, 2 Uwe Gerlinger 1 DYNAmore GmbH, Germany, 2 AUDI AG, Germany KEYWORDS - Optimization, Morphing, ΜETA-Models, Crashworthiness, Process Flow ABSTRACT - The purpose of this paper is to explore aspects of shape and geometry optimization for nonlinear applications and to propose optimization strategies for such problems. Different optimization strategies are discussed and pros and cons are compared. The application of the Successive Response Surface Method (SRSM) for optimization of nonlinear applications is demonstrated. This is performed using LS-OPT as optimization software and ANSA as pre-processor for geometry variation. For this ANSA is run in batch mode and is driven by parameterized control files, which interface with the optimization software LS-OPT. By the variation of morphing control parameters or just geometrical translational or rotational operations the design is optimized with respect to shape properties and geometrical configuration. After morphing operations usually automated batch meshing of the considered parts is applied. The set-up of the process flow and how the several programs interface with each other is also described in the paper. In addition, a methodology to get a reliable surrogate model using neural networks is introduced. The surrogate model (ΜETA-Model or Response Surface Model) approximates the relationship between design parameters and a simulation response and can be used to visualize and explore the design space. One of the regarded examples treats the optimization of a crash box at AUDI. The procedure of generating an advanced μETA-model to get an approximation of the global design space using neural networks is demonstrated for this example. Furthermore, the visualization of multi-dimensional meta-models in two- and three-dimensional design space is illustrated by using the software D-SPEX. The program D-SPEX interfaces with LS-OPT as an advanced optimization and stochastic post-processor.
Transcript of APPLICATIONS OF SHAPE OPTIMIZATION WITH LS OPT AND ANSA
2nd ANSA & μETA International Congress June 14-15, 2007 Olympic Convention Center, Porto Carras Grand Resort Hotel, Halkidiki Greece
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APPLICATIONS OF SHAPE OPTIMIZATION WITH LS-OPT AND ANSA 1Heiner Müllerschön*, 1Marko Thiele, 2Wolfram Mühlhuber, 2Uwe Gerlinger 1DYNAmore GmbH, Germany, 2AUDI AG, Germany KEYWORDS - Optimization, Morphing, ΜETA-Models, Crashworthiness, Process Flow ABSTRACT - The purpose of this paper is to explore aspects of shape and geometry optimization for nonlinear applications and to propose optimization strategies for such problems. Different optimization strategies are discussed and pros and cons are compared. The application of the Successive Response Surface Method (SRSM) for optimization of nonlinear applications is demonstrated. This is performed using LS-OPT as optimization software and ANSA as pre-processor for geometry variation. For this ANSA is run in batch mode and is driven by parameterized control files, which interface with the optimization software LS-OPT. By the variation of morphing control parameters or just geometrical translational or rotational operations the design is optimized with respect to shape properties and geometrical configuration. After morphing operations usually automated batch meshing of the considered parts is applied. The set-up of the process flow and how the several programs interface with each other is also described in the paper. In addition, a methodology to get a reliable surrogate model using neural networks is introduced. The surrogate model (ΜETA-Model or Response Surface Model) approximates the relationship between design parameters and a simulation response and can be used to visualize and explore the design space. One of the regarded examples treats the optimization of a crash box at AUDI. The procedure of generating an advanced μETA-model to get an approximation of the global design space using neural networks is demonstrated for this example. Furthermore, the visualization of multi-dimensional meta-models in two- and three-dimensional design space is illustrated by using the software D-SPEX. The program D-SPEX interfaces with LS-OPT as an advanced optimization and stochastic post-processor.
2nd ANSA & μETA International Congress June 14-15, 2007 Olympic Convention Center, Porto Carras Grand Resort Hotel, Halkidiki Greece
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2nd ANSA & μETA International Congress June 14-15, 2007 Olympic Convention Center, Porto Carras Grand Resort Hotel, Halkidiki Greece
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